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Proceedings Paper

Diamond Eye: a distributed architecture for image data mining
Author(s): Michael C. Burl; Charless Fowlkes; Joe Roden; Andre Stechert; Saleem Mukhtar
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Paper Abstract

Diamond Eye is a distributed software architecture, which enables users (scientists) to analyze large image collections by interacting with one or more custom data mining servers via a Java applet interface. Each server is coupled with an object-oriented database and a computational engine, such as a network of high-performance workstations. The database provides persistent storage and supports querying of the 'mined' information. The computational engine provides parallel execution of expensive image processing, object recognition, and query-by-content operations. Key benefits of the Diamond Eye architecture are: (1) the design promotes trial evaluation of advanced data mining and machine learning techniques by potential new users (all that is required is to point a web browser to the appropriate URL), (2) software infrastructure that is common across a range of science mining applications is factored out and reused, and (3) the system facilitates closer collaborations between algorithm developers and domain experts.

Paper Details

Date Published: 25 February 1999
PDF: 10 pages
Proc. SPIE 3695, Data Mining and Knowledge Discovery: Theory, Tools, and Technology, (25 February 1999); doi: 10.1117/12.339982
Show Author Affiliations
Michael C. Burl, Jet Propulsion Lab. (United States)
Charless Fowlkes, Jet Propulsion Lab. (United States)
Joe Roden, Jet Propulsion Lab. (United States)
Andre Stechert, Jet Propulsion Lab. (United States)
Saleem Mukhtar, Jet Propulsion Lab. (United States)


Published in SPIE Proceedings Vol. 3695:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Belur V. Dasarathy, Editor(s)

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